Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Scan AI agent skills for security vulnerabilities — detects code injection, prompt injection, credential exfiltration, supply chain attacks, and 69+ threat p...
Scan AI agent skills for security vulnerabilities — detects code injection, prompt injection, credential exfiltration, supply chain attacks, and 69+ threat p...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Scan any skill, package, or directory for security threats before installing or running it.
isnad-scan <path> Scans a directory and reports findings by severity (CRITICAL, HIGH, MEDIUM, LOW).
isnad-scan <path> --cve # Also check dependencies for known CVEs (via OSV.dev) isnad-scan <path> -v # Verbose output (show matched lines) isnad-scan <path> --json # Machine-readable JSON output isnad-scan <path> --cve -v # Full audit: CVEs + verbose findings
Code Injection — shell execution, eval, exec, subprocess, os.system, dynamic imports Prompt Injection — role override attempts, instruction hijacking, jailbreak patterns Credential Exfiltration — env var harvesting, keychain access, token theft, file reads of sensitive paths Network Threats — reverse shells, DNS exfiltration, unauthorized outbound connections, webhook data leaks Filesystem Attacks — path traversal, symlink attacks, /etc/passwd reads, SSH key access Supply Chain — typosquatting detection, minified JS analysis, binary file scanning, hidden files Crypto Risks — weak algorithms, hardcoded keys, wallet seed extraction
Before installing a new skill — scan the skill directory first Auditing existing skills — periodic security review Reviewing PRs/contributions — catch malicious code in submissions Pre-publish validation — ensure your own skills are clean before sharing CI/CD integration — isnad-scan . --json for automated checks
🔴 CRITICAL — Immediate threat. Do not install/run. 🟠 HIGH — Likely malicious or dangerous. Review carefully. 🟡 MEDIUM — Suspicious pattern. May be legitimate, verify intent. 🔵 LOW — Informational. Common in legitimate code but worth noting.
Scan a ClawHub skill before installing: isnad-scan ./skills/some-new-skill/ Full audit with CVE checking: isnad-scan ./skills/some-new-skill/ --cve -v JSON output for automation: isnad-scan . --json | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'{d[\"summary\"][\"critical\"]} critical, {d[\"summary\"][\"high\"]} high')"
from isnad_scan import scan_directory results = scan_directory("/path/to/skill") for finding in results.findings: print(f"[{finding.severity}] {finding.category}: {finding.description}") print(f" File: {finding.file}:{finding.line}")
ISNAD (إسناد) means "chain of transmission" — a method for verifying the authenticity of transmitted knowledge. isnad-scan is the security layer of the ISNAD Protocol, bringing trust verification to the AI agent skill ecosystem. PyPI: pip install isnad-scan GitHub: counterspec/isnad Protocol: isnad.md
Identity, auth, scanning, governance, audit, and operational guardrails.
Largest current source with strong distribution and engagement signals.